CN116529765B - 预测个体具有一个或多个病变的可能性 - Google Patents

预测个体具有一个或多个病变的可能性

Info

Publication number
CN116529765B
CN116529765B CN202180079983.0A CN202180079983A CN116529765B CN 116529765 B CN116529765 B CN 116529765B CN 202180079983 A CN202180079983 A CN 202180079983A CN 116529765 B CN116529765 B CN 116529765B
Authority
CN
China
Prior art keywords
interest
regions
ultrasound
ultrasound images
region
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202180079983.0A
Other languages
English (en)
Chinese (zh)
Other versions
CN116529765A (zh
Inventor
林其忠
白向晖
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips NV filed Critical Koninklijke Philips NV
Publication of CN116529765A publication Critical patent/CN116529765A/zh
Application granted granted Critical
Publication of CN116529765B publication Critical patent/CN116529765B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/174—Segmentation; Edge detection involving the use of two or more images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G06T7/248—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/38—Registration of image sequences
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10132—Ultrasound image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20132—Image cropping
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20221—Image fusion; Image merging
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30096—Tumor; Lesion

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Multimedia (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
CN202180079983.0A 2020-11-30 2021-11-29 预测个体具有一个或多个病变的可能性 Active CN116529765B (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
CN2020132646 2020-11-30
CNPCT/CN2020/132646 2020-11-30
EP21153104.1A EP4006832A1 (en) 2020-11-30 2021-01-22 Predicting a likelihood that an individual has one or more lesions
EP21153104.1 2021-01-22
PCT/EP2021/083266 WO2022112540A1 (en) 2020-11-30 2021-11-29 Predicting a likelihood that an individual has one or more lesions

Publications (2)

Publication Number Publication Date
CN116529765A CN116529765A (zh) 2023-08-01
CN116529765B true CN116529765B (zh) 2026-02-24

Family

ID=74215774

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202180079983.0A Active CN116529765B (zh) 2020-11-30 2021-11-29 预测个体具有一个或多个病变的可能性

Country Status (5)

Country Link
US (1) US20240212132A1 (https=)
EP (2) EP4006832A1 (https=)
JP (1) JP7809114B2 (https=)
CN (1) CN116529765B (https=)
WO (1) WO2022112540A1 (https=)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116258968B (zh) * 2023-05-10 2023-07-18 蒙阴县国有林场总场(蒙阴县国有岱崮林场) 一种林果病虫管理方法及系统
JP2025017714A (ja) * 2023-07-25 2025-02-06 富士フイルム株式会社 超音波診断装置及びプログラム
US20250345036A1 (en) * 2024-05-09 2025-11-13 Deep Breathe Inc. Portable ultrasound apparatus, systems and methods
CN119477888A (zh) * 2024-11-25 2025-02-18 中国人民解放军陆军特色医学中心 一种股骨头坏死分期判断方法、系统、设备及存储介质

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6283919B1 (en) 1996-11-26 2001-09-04 Atl Ultrasound Ultrasonic diagnostic imaging with blended tissue harmonic signals
US6458083B1 (en) 1996-11-26 2002-10-01 Koninklijke Philips Electronics N.V. Ultrasonic harmonic imaging with adaptive image formation
US6013032A (en) 1998-03-13 2000-01-11 Hewlett-Packard Company Beamforming methods and apparatus for three-dimensional ultrasound imaging using two-dimensional transducer array
US5997479A (en) 1998-05-28 1999-12-07 Hewlett-Packard Company Phased array acoustic systems with intra-group processors
US6530885B1 (en) 2000-03-17 2003-03-11 Atl Ultrasound, Inc. Spatially compounded three dimensional ultrasonic images
US6443896B1 (en) 2000-08-17 2002-09-03 Koninklijke Philips Electronics N.V. Method for creating multiplanar ultrasonic images of a three dimensional object
US6468216B1 (en) 2000-08-24 2002-10-22 Kininklijke Philips Electronics N.V. Ultrasonic diagnostic imaging of the coronary arteries
US9277902B2 (en) * 2013-11-22 2016-03-08 General Electric Company Method and system for lesion detection in ultrasound images
KR20150098119A (ko) * 2014-02-19 2015-08-27 삼성전자주식회사 의료 영상 내 거짓양성 병변후보 제거 시스템 및 방법
KR102251242B1 (ko) 2014-11-26 2021-05-12 삼성전자주식회사 컴퓨터 보조 진단 장치 및 방법
CN105447872A (zh) * 2015-12-03 2016-03-30 中山大学 一种在超声影像中自动识别肝脏肿瘤类型的方法
US10346982B2 (en) 2016-08-22 2019-07-09 Koios Medical, Inc. Method and system of computer-aided detection using multiple images from different views of a region of interest to improve detection accuracy
JP7357015B2 (ja) 2018-06-29 2023-10-05 コーニンクレッカ フィリップス エヌ ヴェ 生検予測及び超音波撮像によるガイド並びに関連するデバイス、システム、及び方法
US20200121294A1 (en) * 2018-10-17 2020-04-23 General Electric Company Methods and systems for motion detection and compensation in medical images
JP7382240B2 (ja) * 2020-01-30 2023-11-16 富士フイルムヘルスケア株式会社 医用画像処理装置及び医用画像処理方法
US12505645B2 (en) * 2020-03-27 2025-12-23 Hologic, Inc. Systems and methods for correlating regions of interest in multiple imaging modalities
WO2021207226A1 (en) * 2020-04-07 2021-10-14 Verathon Inc. Automated prostate analysis system
EP3901903B1 (en) * 2020-04-23 2023-06-14 Siemens Healthcare GmbH Classifying a lesion based on longitudinal studies
FR3110764B1 (fr) * 2020-05-20 2024-05-10 Quantum Surgical Méthode de prédiction de la récidive d’une lésion par analyse d’images
US20220067919A1 (en) * 2020-08-26 2022-03-03 GE Precision Healthcare LLC System and method for identifying a tumor or lesion in a probabilty map
US11749401B2 (en) * 2020-10-30 2023-09-05 Guerbet Seed relabeling for seed-based segmentation of a medical image
US11948687B2 (en) * 2021-05-24 2024-04-02 Nantcell, Inc. Deep learning models for region-of-interest determination

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
3D tumor detection in automated breast ultrasound using deep convolutional neutral network;LI YANFENG;Medical Physics;20201006;第47卷(第11期);第1-2节 *
Object Detection in Videos with Tubelet Proposal Networks;KAI KANG;ARXIV;20170221;第3-4节 *

Also Published As

Publication number Publication date
JP2023552330A (ja) 2023-12-15
EP4006832A1 (en) 2022-06-01
CN116529765A (zh) 2023-08-01
JP7809114B2 (ja) 2026-01-30
US20240212132A1 (en) 2024-06-27
EP4252181A1 (en) 2023-10-04
WO2022112540A1 (en) 2022-06-02

Similar Documents

Publication Publication Date Title
US12329570B2 (en) Ultrasound system with an artificial neural network for guided liver imaging
CN111885964B (zh) 识别超声图像的特性的系统和方法
CN116529765B (zh) 预测个体具有一个或多个病变的可能性
US11950959B2 (en) Ultrasound system with automated dynamic setting of imaging parameters based on organ detection
US11817203B2 (en) Ultrasound clinical feature detection and associated devices, systems, and methods
CN112867444B (zh) 用于引导对超声图像的采集的系统和方法
CN112773393B (zh) 用于提供超声图像增强的方法和系统
CN120418822A (zh) 图像采集方法
CN113543721B (zh) 用于采集复合3d超声图像的方法和系统
EP3513731A1 (en) Device and method for obtaining anatomical measurements from an ultrasound image
CN114867418A (zh) 用于评估胎盘的系统和方法
EP4078511B1 (en) Generating a segmentation confidence map from node variations in a plurality of differently perturbed, model-based anatomical image segmentations
EP4391920B1 (en) Method for use in analysing ultrasound image data of a subject
EP4014884A1 (en) Apparatus for use in analysing an ultrasound image of a subject

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant